About Me

I am a PhD student in the School of Computer Science & Statistics at Trinity College Dublin. I work for the ADAPT Centre which is funded by Science Foundation Ireland. I started my PhD under the supervision of Prof. Séamus (Shay) Lawless. Currently I am being supervised by Prof. Owen Conlan. My PhD thesis, broadly speaking, is about exploring Information Retrieval approaches for contextual recommendation, with a particular focus to improve precision at top ranks.

Check out our recent CIKM '20 paper on relevance feedback with query variants, and SIGIR '20 paper on how to effectively recommend 'points of interests' to users catering to their personalized preferences.


Research Interests

Some of my research interests are

  • Information Retrieval from Noisy Texts,
  • Personalized Information Retrieval,
  • Contextual Recommendation and
  • Entity Driven Search.

  • Books, etc.


  • Introduction to Information Retrieval Manning, Raghavan and Schutze, Cambridge University Press, 2008.
  • Search Engines Information Retrieval in Practice W. Bruce Croft, D. Metzler, T. Strohman, Pearson, 2009.
  • Recommender Systems Handbook Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. Kantor, Springer, 2010.

  • Teaching


  • Co-supervisor, Master’s thesis: Twitter as an Alternative Review Site, Trinity College Dublin (2018-19).
  • Lab, Information Retrieval and Web Search, Trinity College Dublin (2017-18, 2018-19).
  • Lab, Algorithms & Data Structures (using C/Java), Trinity College Dublin (Jan '17 - Mar '17, Oct '17 - Dec '17, Jan '18 - Mar '18, Sep '18 - Nov '18, Sep '19 - Nov '19).
  • Lab, Computer Engineering 1 (C++), Trinity College Dublin (Mar '18 - Apr '18, Jan '19 - Apr '19, Jan '20 - Apr '20).
  • Lab, Programming Project with Processing, Trinity College Dublin (Jan '17 - Mar '17, Feb '18).

  • Academic Activities


  • Reviewer, WEPIR 2019@ACM CHIIR 2019, ACM Hypertext 2018, FIRE 2014.
  • Organizing/Program Committee member, Forum for Information Retrieval Evaluation (FIRE) since 2012.
  • Publications


    2 0 2 0

  • Anirban Chakraborty, Debasis Ganguly, and Owen Conlan. Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants. ACM CIKM 2020. [Preprint] [link (soon)]

  • Anirban Chakraborty, Debasis Ganguly, and Owen Conlan. Relevance Models for Multi-Contextual Appropriateness in Point-of-Interest Recommendation. ACM SIGIR 2020. [link][PDF][video presentation]

  • 2 0 1 9

  • Anirban Chakraborty, Debasis Ganguly, Annalina Caputo and Séamus Lawless. A Factored Relevance Model for Contextual Point-of-Interest Recommendation. ACM ICTIR 2019. ACM DL. Pages 157 - 164. Santa Clara, CA, USA. [link][PDF]

  • Mostafa Bayomi, Annalina Caputo, Matthew Nicholson, Anirban Chakraborty and Séamus Lawless. CoRE: a cold-start resistant and extensible recommender system. ACM SAC 2019. ACM DL. Pages 1679 - 1682. Limassol, Cyprus. [link]

  • 2 0 1 8

  • Anirban Chakraborty. Enhanced Contextual Recommendation using Social Media Data. ACM SIGIR 2018. ACM DL. Pages 1455 - 1455. Ann Arbor, MI, USA. [link][PDF]

  • 2 0 1 7

  • Anirban Chakraborty. Exploring Search Behaviour in Microblogs. FDIA 2017. Barcelona, Spain. [link][PDF]

  • 2 0 1 6

  • Kripabandhu Ghosh, Anirban Chakraborty, Swapan Kumar Parui and Prasenjit Majumder. Improving Information Retrieval Performance on OCRed Text in the Absence of Clean Text Ground Truth. Information Processing & Management 52 (5), 873 - 884. Elsevier. [link][PDF]

  • 2 0 1 5

  • Anirban Chakraborty, Kripabandhu Ghosh and Swapan Kumar Parui. Retrieval from Noisy E-Discovery Corpus in the Absence of Training Data. ACM SIGIR 2015. ACM DL. Pages 755 - 758. Santiago, Chile. [link][PDF]

  • 2 0 1 4

  • Anirban Chakraborty, Kripabandhu Ghosh and Swapan Kumar Parui. Building Test Collection from Old IR Literature. In FIRE 2014 proceedings. ACM DL. Pages 121 - 125. [link][PDF]

  • Anirban Chakraborty, Kripabandhu Ghosh and Utpal Roy. A Word Association Based Approach for Improving Retrieval Performance from Noisy OCRed Text. KDIR 2014. SCITEPRESS. Pages 450 - 456. Rome, Italy. [link][PDF]

  • S. Baral, S. Bhattacharya, A. Chakraborty, U. Bhattacharya and S. K. Parui. A Machine Learning Approach to Detection of Core Region of Online Handwritten Bangla Word Samples. ICFHR 2014. IEEE. Pages 458 - 463. [link]

  • 2 0 1 3

  • Kripabandhu Ghosh, Anirban Chakraborty and Swapan Kumar Parui. Improving IR performance from OCRed text using cooccurrence. In FIRE 2013 proceedings. ACM DL. [link][PDF]



  • Find me on Google Scholar, DBLP

    Contacts


    O'Reilly F.34,
    School of Computer Science & Statistics,
    Trinity College Dublin, Dublin 2, Ireland.

    Group:

    Knowledge and Data Engineering Group

    achakrab@tcd.ie

    anirban.chakraborty89

    @iamani